The speakers
Kyle Gallatin
Sr Software Engineer ML at EtsyTopic: Insights about MLOps from serving 100s of models
Kyle will share insights about MLOps and ML in production from a unique perspective. As a trained biologist, Kyle started his career in data science with a boot camp course in NYC. He transitioned quickly from student to teacher at the same boot camp. This led him to score a job as an ML engineer first at Pfizer, and now at Etsy, where he helps to build the ML platform serving all different business units of the company.
David Vaughn
Senior Data Scientist at PrecisionHawkTopic: Building a custom training and inferencing pipeline using orientated bounding boxes
David has 15+ years of experience in ML and is a 1st place Kaggle winner. After acquiring his BA from Harvard, he spent a long time in academia before switching to the startup world. Today, he works at PrecisionHawk—a company that offers drone-flights-as-service. David builds ML solutions to assist teams of Geo-spatial scientists in automating their workflows for use cases like damage inspection of power grids. In his talk, he'll share insights on the challenges when building custom training and inferencing pipelines for specialized use cases.
Alex Barteau
Senior EngineerTopic: Navigating hardware constraints and global IC shortages
Alex works for a NY-based startup that helps businesses detect harmful contaminants in health-critical industries. Alex's role is to deploy the vision models to the edge hardware, which he'll shed some light on during his talk. Earlier in his career, he worked as an Instrument Engineer at ExxonMobil and pursued an MS in Computer Engineering from NYU and has been working on developing and programming hardware since.